Uses of Class
org.apache.commons.math3.exception.ConvergenceException
Packages that use ConvergenceException
Package
Description
Root finding algorithms, for univariate real functions.
Fraction number type and fraction number formatting.
This package provides algorithms to generate the convex hull
for a set of points in an two-dimensional euclidean space.
This package provides interfaces and classes related to the convex hull problem.
Clustering algorithms.
Implementations of special functions such as Beta and Gamma.
All classes and sub-packages of this package are deprecated.
Classes providing hypothesis testing.
Convenience routines and common data structures used throughout the commons-math library.
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Uses of ConvergenceException in org.apache.commons.math3.analysis.solvers
Methods in org.apache.commons.math3.analysis.solvers that throw ConvergenceExceptionModifier and TypeMethodDescriptionprotected final doubleBaseSecantSolver.doSolve()Method for implementing actual optimization algorithms in derived classes. -
Uses of ConvergenceException in org.apache.commons.math3.fraction
Subclasses of ConvergenceException in org.apache.commons.math3.fractionModifier and TypeClassDescriptionclassError thrown when a double value cannot be converted to a fraction in the allowed number of iterations. -
Uses of ConvergenceException in org.apache.commons.math3.geometry.euclidean.twod.hull
Methods in org.apache.commons.math3.geometry.euclidean.twod.hull that throw ConvergenceExceptionModifier and TypeMethodDescriptionConvexHullGenerator2D.generate(Collection<Vector2D> points) Builds the convex hull from the set of input points. -
Uses of ConvergenceException in org.apache.commons.math3.geometry.hull
Methods in org.apache.commons.math3.geometry.hull that throw ConvergenceExceptionModifier and TypeMethodDescriptionConvexHull<S, P> ConvexHullGenerator.generate(Collection<P> points) Builds the convex hull from the set of input points. -
Uses of ConvergenceException in org.apache.commons.math3.ml.clustering
Methods in org.apache.commons.math3.ml.clustering that throw ConvergenceExceptionModifier and TypeMethodDescriptionClusterer.cluster(Collection<T> points) Perform a cluster analysis on the given set ofClusterableinstances.KMeansPlusPlusClusterer.cluster(Collection<T> points) Runs the K-means++ clustering algorithm.MultiKMeansPlusPlusClusterer.cluster(Collection<T> points) Runs the K-means++ clustering algorithm. -
Uses of ConvergenceException in org.apache.commons.math3.special
Methods in org.apache.commons.math3.special that throw ConvergenceException -
Uses of ConvergenceException in org.apache.commons.math3.stat.clustering
Methods in org.apache.commons.math3.stat.clustering that throw ConvergenceExceptionModifier and TypeMethodDescriptionKMeansPlusPlusClusterer.cluster(Collection<T> points, int k, int maxIterations) Deprecated.Runs the K-means++ clustering algorithm.KMeansPlusPlusClusterer.cluster(Collection<T> points, int k, int numTrials, int maxIterationsPerTrial) Deprecated.Runs the K-means++ clustering algorithm. -
Uses of ConvergenceException in org.apache.commons.math3.stat.inference
Methods in org.apache.commons.math3.stat.inference that throw ConvergenceExceptionModifier and TypeMethodDescriptiondoubleOneWayAnova.anovaPValue(Collection<double[]> categoryData) Computes the ANOVA P-value for a collection ofdouble[]arrays.doubleOneWayAnova.anovaPValue(Collection<SummaryStatistics> categoryData, boolean allowOneElementData) Computes the ANOVA P-value for a collection ofSummaryStatistics.booleanOneWayAnova.anovaTest(Collection<double[]> categoryData, double alpha) Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.doubleMannWhitneyUTest.mannWhitneyUTest(double[] x, double[] y) Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.static doubleTestUtils.oneWayAnovaPValue(Collection<double[]> categoryData) static booleanTestUtils.oneWayAnovaTest(Collection<double[]> categoryData, double alpha) doubleWilcoxonSignedRankTest.wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue) Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample. -
Uses of ConvergenceException in org.apache.commons.math3.util
Methods in org.apache.commons.math3.util that throw ConvergenceExceptionModifier and TypeMethodDescriptiondoubleContinuedFraction.evaluate(double x) Evaluates the continued fraction at the value x.doubleContinuedFraction.evaluate(double x, double epsilon) Evaluates the continued fraction at the value x.doubleContinuedFraction.evaluate(double x, double epsilon, int maxIterations) Evaluates the continued fraction at the value x.doubleContinuedFraction.evaluate(double x, int maxIterations) Evaluates the continued fraction at the value x.